• Journal of the Korea Academia-Industrial cooperation Society
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• v.9 no.3
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• pp.695-701
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• 2008

This study has been made to research on the brain wave characteristics of baduk expert by BCI(Brain Computer Interface). The test was based on the researches from 1th September, 2005 to 30th December, 2005, compared with the ones of the standardized general public. The number of the general public are 695 (elementary school students 423, middle and high school students 161, adults 111) and the number of the baduk players are 57 (researchstudents 15, Korean baduk club students 16, professional baduk players 26). The research data show that the baduk players have the higher indexes than the general public in Self Regulation quotient p=.002, Attention Quotient(left) p=.002, Emotion Quotient p=.027, Stress Quotient(left) p=.002 and Brain Quotient p=.006. There are some differences in brain functions between baduk players and the ordinary people. Difference in functions of the brain among baduk experts is also analyzed. That result shows that there is no different brain function between professional baduk player.

• The Korean Journal of Applied Statistics
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• v.20 no.2
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• pp.245-255
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• 2007

In playing Baduk, Black plays first and, thus, can control the pace of a game. Usually a player with black stones plays conservatively to maintain the advantage of playing first. The purpose of dum is to compensate for Black having the first move. Currently, 6.5-point dum is applied in Korea and Japan, while 8-point dum is applied in Taiwan and China. In this study we investigated whether the current size of dum(6.5 points) is optimal, by statistically analyzing and comparing the advantage of taking Black across two data sets with different dun rules. Under the 5.5-point handicap, Blacks won significantly more games than Whites, revealing the advantage of playing first. However, with 6.5-point dum, Black's advantage of playing first was not significant. In Conclusion, implications and future research areas are discussed.

• Journal of Korea Game Society
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• v.13 no.4
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• pp.15-24
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• 2013

The game of Go, which is originated at least more than 2,500 years ago, is one of the oldest board games in the world. So far the theoretical studies concerning to the Go openings are still insufficient. We applied traditional LDA algorithm to recognize a pro player's opening to a class obtained from the training openings. Both class-independent LDA and class-dependent LDA methods are conducted with the Go game records of the Korean top 10 professional Go players. Experimental result shows that the average recognition rate of class-independent LDA is 14% and class-dependent LDA 12%, respectively. Our research result also shows that in contrary to our common sense the algorithm based on PCA outperforms the algorithm based on LDA and reveals the new fact that the Euclidean distance metric method rarely does not inferior to LDA.